Simultaneous positron emission tomography and magnetic resonance imaging for the detection and characterisation of liver lesions in patients with colorectal cancer: A pictorial review
Autor: | Kenneth A. Miles, Edward Yeoh |
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Rok vydání: | 2019 |
Předmět: |
medicine.medical_specialty
Treatment response Colorectal cancer Multimodal Imaging Fluorodeoxyglucose F18 Medical imaging Humans Medicine Whole Body Imaging Radiology Nuclear Medicine and imaging In patient Stage (cooking) PET-CT medicine.diagnostic_test business.industry Liver Neoplasms Magnetic resonance imaging medicine.disease Magnetic Resonance Imaging Oncology Positron emission tomography Positron-Emission Tomography Radiology Radiopharmaceuticals Colorectal Neoplasms business |
Zdroj: | Journal of Medical Imaging and Radiation Oncology. 63:624-629 |
ISSN: | 1754-9485 1754-9477 |
Popis: | Patients with colorectal cancer undergo frequent diagnostic imaging to stage the extent of metastatic disease and assess response to treatment. Imaging is typically via diagnostic contrast-enhanced CT or combined FDG-PET/CT. However, recent research has demonstrated promising benefits of combined FDG-PET/MRI in oncologic imaging due to the superior soft-tissue contrast of MRI. The extent of both intrahepatic and extrahepatic disease is important in establishing treatment options for colorectal cancer patients, and FDG-PET/CT and dedicated liver imaging are often both required. FDG-PET/MRI offers the advantage of a single examination which can be completed within a similar duration as dedicated liver MRI imaging. This improves patient convenience and anatomical co-registration between PET and MRI imaging and provides a potential cost benefit. The diagnostic benefits of FDG-PET/MRI include the simultaneous characterisation of focal liver lesions, exclusion of extrahepatic disease, the detection of additional hepatic metastases and extrahepatic disease, and the multi-parametric assessment of treatment response. This pictorial review highlights examples of these benefits. |
Databáze: | OpenAIRE |
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